How to create image for running container смотреть последние обновления за сегодня на .
🤍 This episodes shows you the step by step instructions and commands that you'll need to create your very first Dockerfile, build a Docker image from it and run it as a Docker container. You'll learn the two core commands that every Dockerfile needs, and then step into some simple commands like copying files into your image, to run them. Get up and running with a simple "Hello World" Dockerfile and image in only a few minutes.
Building docker image and running container using docker-compose docker-compose.yml version: '3' services: ubuntuwebserver: build: ../apache2docker/ image: "dockcompose/apache2:1.0" container_name: dockercomposeapache2 ports: - "3308:80" Dockerfile FROM ubuntu:latest RUN apt-get update RUN apt-get install -y openssh-server RUN mkdir -p /var/run/sshd RUN mkdir -p /home/dockertest RUN useradd -d /home/dockertest dockertest RUN chown dockertest /home/dockertest RUN echo 'dockertest:P🤍$$w0rd' | chpasswd RUN sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config EXPOSE 22 CMD ["/usr/sbin/sshd" , "-D"] Subscribe this channel to get periodic update Please click this link to subscribe my channel - 🤍 Please visit these play lists as well Docker Fundamentals - 🤍 Linux Basics - 🤍 Linux Tips and Tricks - 🤍 Cloudera Hadoop Administration - 🤍 Cloudera Hadoop 6 - 🤍 Bash Scripting - 🤍 Hortonworks Data Platform3 - 🤍 Hadoop Admin Q&A - 🤍 Hadoop Security - 🤍 HD Insight - 🤍 HDP Administration - 🤍 HDPCA - 🤍 Cloudera Certified Administrator - 🤍 HDP Upgrade - 🤍 Puppet - 🤍 Data Governance - 🤍
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In this video we looked into how we can run application where the application's container image is pushed into a private repository/registry. We looked into two ways to create the secret and then using imagePullSecrets to specify the credentials for private container repo. We also looked into a way where we can specify imagePullSecrets into the default service account so that any pod that gets created, by default would have imagePullSecrets set. Web: 🤍 00:00 Introduction 00:20 Agenda 00:38 Problem Statement 02:25 Creating Private Container Repo 03:21 Push and image to private Repo 03:36 Creating the pod 06:13 Resolution (Specifying imagePullSecrets) 07:08 Two ways to create secret 07:35 Using docker-registry sub command to create Secret 11:00 Specifying imagePullSecrets in the pod manifest 13:12 Using generic sub command to create Secret 19:52 Specifying imagePullSecrets in ServiceAccount 26:57 imagePullSecrets from ServiceAccount 29:19 Conclusion 29:31 Like and Subscribe
How to Create a Container from Docker Image. How To Create an Image, How to Create and Start the Container from image Ubuntu Apache2 Web Server Container Setup Refer this post for more information 🤍 #devops #docker
Certified Kubernetes Administrator * Description: * In this video, you are going to learn what is docker images & how to build a container image. 1. What is a Docker/container Image ? 2. OS Image Vs. Container Image 3. OS Image Vs. Container Image 4. How to create our own Images ? 5. Images Layers 6. Container Registries 7. More about Container Registries 8. DEMO: Create a docker Image from a Container For suggestions/feedback/doubts contact email: kvk🤍vsparkz.com Happy Learning !!! = USEFUL LINKS: ############# Docker: 🤍 Docker Documentation: * 🤍 Docker Hub: 🤍 #cka #kubernetes #k8s #containers DEMO Steps: Step 1: Connect to Docker Host & Check docker is started - $ service docker status Step 2: Pull a container Image from Docker Hub - $ docker pull nginx:alpine Step 3: Inspect the container image $ docker inspect nginx:alpine Step 4: RUN a Docker Container $ docker run -d name happy nginx:alpine Step 5: Customize the running Container $ docker cp index.html happy:/usr/share/nginx/html/index.html Step 6: Create a new image from the running container $ docker commit happy vsparkz/webserver:1.0 Step 7: Push the new image to docker hub $ docker login $ docker push vsparkz/webserver:1.0 Step 8: Clean the local registry & the container traces - $ docker stop happy $ docker rm happy $ docker rmi nginx:alpine $ docker rmi vsparkz/webserver:1.0 Step 9: Test the New Image - $ docker run -d -p 8080:80 name happy vsparkz/webserver:1.0
NIM : 17090008 Nama : Umar Ulkhak Docker documentation 🤍 Docker hub 🤍
In this video we'll see how docker can be used to run Ubuntu shell on a Mac and roam around inside an ubuntu distribution. Learn Full Stack Development by building over 25 Projects: 🤍 Don't forget to subscribe and like the video if you enjoyed :) Be a damner, join the coding community: 🤍
This part covers docker commands - 1. Commit - TO create new image from running container to preserver container state with new changes but not for container data 2. Save - To create TAR file out of Images 3. Load - To load image from TAR file Docker Tutorial Part14 - 🤍 Docker Tutorial Part13 - 🤍 Docker Tutorial Part12 - 🤍 Docker Tutorial Part11 - 🤍 Docker Tutorial Part10 - 🤍 Docker Tutorial Part9 - 🤍 Docker Tutorial Part8 - 🤍 Docker Tutorial Part7 - 🤍 Docker Tutorial Part6 - 🤍 Docker Tutorial Part5 - 🤍 Docker Tutorial Part4 - 🤍 Docker Tutorial Part3 - 🤍 Docker Tutorial Part2 - 🤍 Docker Tutorial Part1 - 🤍 Docker Installation on Window - 🤍 Dockerfile reference documentation - 🤍 Docker helps Developers/DevOps/System Admin to solve problems related to build/ship/deploy in multiple environment with having consistent behavior.....This video series is to provide How beginners can start learning docker technology with the help of real time examples & hands on commands. Target audience for this series is 1. Developers 2, DevOps, 3. System Administrator 4. Anyone who is planning to start their career in software industry
DevOps Project: Build Dockerfile and run container out of the image | Git, GitHub, Jenkins and Docker | CI/CD automation with Jenkins. Build the Dockerfile, create image and deploy the application into the container. #Jenkins #CI #CD #AWS #EC2 #Automation #DevOps #Docker #Container SUBSCRIBE my channel: 🤍 View my other videos:👇 AWS EC2 : 🤍 EC2 WindowsVM : 🤍 EC2 LinuxVM : 🤍 AWS S3 : 🤍 Amazon DynamoDB : 🤍 AWS IAM : 🤍 Project on DevOps : 🤍 Automation - DB Backup on S3 : 🤍 AWS Auto Scaling : 🤍 AWS Load Balancer : 🤍 -: FOLLOW ME :- Instagram - 🤍 Facebook - 🤍 Twitter - 🤍
I showcase how to build and run Docker on windows. I create a ubuntu-based Docker Image and then runs it to print "Hello World". To showcase the functionality I jump into the docker container and show some basic Linux functionality. Commands: Build a docker image: docker build -t [tag] [dockerfile position] Create and run Docker container docker run [docker image] How to get into a docker container docker run -it [docker image] /bin/bash My channel publishes videos regarding programming, software engineering especially Java and JavaFX. If that is what you are looking for then do not hesitate to join me on this journey! Subscribe to my YouTube channel: 🤍
This video tutorial I will talk about how to dockerize Machine Learning (ML) model and will help you to build your first #Docker image and run a Docker container for your Machine Learning project, supposing you are a Data Scientist, Machine Learning (ML) Engineer or aspiring to become a Master of Data Science. This lesson extends your data science knowledge by touching Docker from a Machine Learning perspective. At the end of this Docker lesson you will be able to: 1. Create your Docker image 2. Run your Docker container in the Docker Dashboard tool. 3. Improve your Docker image with your customized working directory. 4. Make your Docker image more stable by using Environmental variables, which could be integrated across the Python codes and the Docker Image itself. Building-up Docker Images and Docker containers are very important skills for Data Scientists, Developers, and Machine Learning Engineerings who work with Machine Learning Operations (MLOps) tasks. Pay special attention on how to correctly build a simple #Dockerfile and what main parts must be defined there. How to use COPY, RUN, and other standard functions there, and also how to use default terminal functions inside Dockerfile. This is very important. Also, it can be highlighted that in this example I used a scipy-notebook image as the base image to build a Docker container, and then a standard jovyan notebook user for our image. You can read more about jovyan here: 🤍 In order to start building a Docker container for a Machine Learning model, let’s have three files: Dockerfile, train.py, inference.py. I highly recommend to download project files and Docker Dashboard tool while following the steps introduced in the video: - Download all project files from Github here: 🤍 - Download the Docker Dashboard (for both Windows or Mac) Tool: 🤍 This tool allows you to push your Docker Containers into DockerHub, share it to the Public and explore your Docker images within user friendly interface. The content of the Docker lesson: 0:00 Introducing lessons, requirements to complete it 1:14 Your first Docker image. Main commands and Python project codes 6:05 Improve Docker Image with default working directory (WORKDIR) 9:23 Make your Docker Image with Environmental Variables 16:19 Conclusions In this example I am using the Mac operating system and use simple terminal functions within it. So, all in all, within this tutorial you will create three different Docker images with containers and will run all of them separately, by integrating two Machine Learning models (Linear Discriminant Analysis - LDA, and Neural Networks - NN) into them. I tried to make this tutorial as clean as possible. If you have any questions, drop a comment below. #dockercontainer
In this video, I have shown the steps to build and push the docker image to Google Container Registry(GCR) which is a private registry.
Hamish Coleman 🤍 Containers are everywhere, but do you know how to create the root filesystems that they use? There are simple tools available to create your own custom Ubuntu or Debian root filesystem. By using these tools to build environments matching your needs, you will end up with a better understanding of how containers are built - and how to debug them - as well as gain access to more options that can speed up your own builds and testing. In this presentation, I will show the debootstrap and multistrap tools and provide worked examples on how to avoid their gotchas and end up with a bootable root filesystem. linux.conf.au is a conference about the Linux operating system, and all aspects of the thriving ecosystem of Free and Open Source Software that has grown up around it. Run since 1999, in a different Australian or New Zealand city each year, by a team of local volunteers, LCA invites more than 500 people to learn from the people who shape the future of Open Source. For more information on the conference see 🤍 #linux.conf.au #linux #foss #opensource
Learn how to run Jenkins in a Docker Container. This video covers the following: * Pull Jenkins Image and run container * Initialize Jenkins and install default plugins * Create First Admin User * Types of Jenkins Projects For any questions/issues/feedback, please leave me a comment and I will get back to you as soon as possible. #devops #jenkins #docker #techworldwithnana - Complete Docker and Kubernetes tutorial ► 🤍 What is Kubernetes? ► 🤍 Docker 🐳 vs Kubernetes ► 🤍 Complete Jenkins Pipeline Tutorial ► 🤍 - ✅ Connect with me ► Youtube: 🤍 ► DEV: 🤍 ► Instagram: 🤍 ► Twitter: 🤍
In the second part of the Docker Containers Tutorials I demonstrate how changes can be made to a Docker image from within a container. I then demonstrate how we can save these changes for future use. This is done by running docker commit and saving a snapshot of the container. This tutorial is part of the Docker containers for beginners course from How To Code Well. Get the whole course here: 🤍 Want to learn more about Docker? Peter Fisher is the author of Docker In Motion. This interactive online course will teach you the fundamentals of Docker 🤍 Learn more about Docker with these study books and video courses = Docker In Motion: 🤍 (My Course) Docker In Action 🤍 Microservices in Action 🤍 Kubernetes in Action 🤍 Docker Tutorial #1 Containers Vs Images: 🤍 Do checkout the Docker machine tutorials: 🤍 JOIN DISCORD AND SUPPORT THE CHANNEL Patron: 🤍 WE HAVE A SHOP How To Code Well Shop: 🤍 RECOMMENDED PROGRAMMING RESOURCES Manning programming books and courses: 🤍 MY PROGRAMMING COURSES Docker in Motion: 🤍 Skillshare courses: 🤍 Udemy courses: 🤍 WEB HOSTING DEALS Cloudways: 🤍 = 20% off first 6 months Digital Ocean: 🤍 = $10 off Linode: 🤍 SUBSCRIBE TO THE NEWSLETTER Join the Newsletter: 🤍 FOLLOW ME Blog: 🤍 Facebook: 🤍 Instagram: 🤍 Twitter: 🤍 Pintrest: 🤍 Twitch: 🤍 MY TALKS How to put your Docker image on a diet: 🤍 SUPPORT THE CHANNEL Become a Patron: 🤍 Donate: 🤍 Help translate the videos: 🤍 VIDEO SETUP Nikon D5300 Camera: 🤍 Logitech HD Pro Webcam C920 🤍 CRAPHY Photography Studio Lights: 🤍 Rode Procaster Microphone: 🤍 Rode VideoMic Pro: 🤍 Zoom H4NPro: 🤍 #docker #devops #howtocodewell
In this Docker tutorial for beginners, we're going to be running our first Docker container in production. You'll get to see just how fast, easy, and STABLE it is to use Docker for deploying your web applications. We're going to spin up a Digital Ocean server (get $10 free digital ocean credit if you sign up here: 🤍 Then, we're going to run a basic web server container that was built from a Dockerfile. This webserver Docker image can be run on our server as one or more containers. If we had a cluster of Docker machines, we could run many of these containers seamlessly. High-Availability Docker #1: 🤍 - Cluster computing - CoreOS is our solution here. CoreOS allows us to make an expandable cluster of computers so we can add more computers should our application need more power to scale. CoreOS also allows us to run services on any machine in the cluster and they can all communicate with each other. High-Availability Docker #2: 🤍 - Scheduling: we shouldn't manually choose which app runs on which machine - this idea doesn't work at scale. Fleet will be our scheduler that decides where our apps/services run. If a CoreOS machine goes down, fleet will reschedule any services that it was running onto a new machine. High-Availability Docker #3: 🤍 - Service Registration Since we never know what ip address or port a service will be running on, we need to register that service so other services can find it and communicate with it. We'll use Etcd and Flannel for this High-Availability Docker #4: 🤍 - Service Discovery: Now that services have registered, we can discover them and load balance between them with a generic docker nginx container High-Availability Docker #5: 🤍 - Public DNS: Once the app is working, we need a fixed way for the outside world to access it. We'll use Nginx and Confd for this. Confd will watch Etcd for service registration and when services come/go, it will build a new configuration file for Nginx and reload Nginx. -~-~~-~~~-~~-~- Also watch: "Responsive Design Tutorial - Tips for making web sites look great on any device" 🤍 -~-~~-~~~-~~-~-
How do we build container images inside containers running in a Kubernetes cluster? Docker is a bad option since it cannot run inside containers. Using it requires communication to the Docker engine running in cluster nodes. Even if that security concern is not enough, Dockershim is deprecated in Kubernetes 1.20 and will be (or already is) removed from 1.22. That means that alternative container engines like ContainerD will take its place. In other words, using Docker is not even an option anymore. Kaniko comes to the rescue. It is a tool to build container images from a Dockerfile, inside a container or Kubernetes cluster. Timecodes ⏱: 00:00 Intro 04:55 Cloning the demo app repo 07:38 Building container images with Docker locally 08:15 Building container images with Docker from a container 12:11 Building container images through Docker socket 16:16 Building container images with Kaniko from a container ➡ Gist with the commands: 🤍 🔗 Kaniko: 🤍 📚 DevOps Catalog, Patterns, And Blueprints: 🤍 📚 Books and courses: 🤍 🎤 Podcast: 🤍 💬 Live streams: 🤍 ➡ Follow me on Twitter: 🤍 ➡ Follow me on LinkedIn: 🤍
Docker Training : 🤍 In this video on Docker For Windows we’ll discuss about one of the most popular DevOps tools, i.e. docker. Docker is one of the best containerization platforms out there and in this video, we’re specifically going to discuss about docker for windows. I’ll be covering the following topics: (01:05) Why use Docker For Windows? (03:17) Prerequisites (04:15) Tools installed with Docker For Windows (05:31) What is Docker? (06:35) Docker Terminologies (09:50) Install Docker For Windows (11:30) Hands-On Download Docker For Windows Installer (Scroll down to Install Docker For Windows, you’ll find a link to download the installer) : 🤍 Docker Commands Video: 🤍youtube.com/watch?v=lktzQrHQcYU Check our complete DevOps playlist here (includes all the videos mentioned in the video): 🤍 Subscribe to our channel to get video updates. Hit the subscribe button above. 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬- 🔵DevOps Online Training: 🤍 🔵Kubernetes Online Training: 🤍 🔵Docker Online Training: 🤍 🔵AWS Certified DevOps Engineer Online Training: 🤍 🔵Azure DevOps (Az-400) Online Training: 🤍 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐨𝐩𝐬 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 🔵DevOps Engineer Masters Program: 🤍 -𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 🌕 Post Graduate Program in DevOps with Purdue University: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 #DevOpsTools #DevOpsTraining #DevOpsTutorial #Docker - - - - - - - - - - - - - - About the Course Edureka’s DevOps online training is designed to help you master key tools of DevOps lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you: 1. Understand the concepts and necessities of DevOps 2. Understand the need for DevOps and the day-to-day real-life problems it resolves 3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise 4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT 5. Implement automated system update, installations and deployments 6. Learn Virtualization Concepts 7. Configuration deployment and packaging, continuous integration using GIT 8. Fine tune Performance and set-up basic Security for Infrastructure 9. Manage server operations using Code which is popularly known as Infrastructure as a Code 10. Understand the need for and concepts of Monitoring and Logging. Along with the above-mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools: 1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. 2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server. 3: Puppet - Covers Puppet Infrastructure & run-cycle, the Puppet Language, Environment defining Nodes and Modules, Provisioning a Web Server and Executing Modules Against A Puppet Master. - - - - - - - - - - - - - - Who should go for this course? DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are: 1. DevOps Architect 2. Automation Engineer 3. Software Tester 4. Security Engineer 5. Integration Specialist 6. Release Manager - - - - - - - - - - - - - - Project Work 1. Host a dummy webpage using Apache Web Server. 2. Write shell script which reports: a) Various system configurations related to the user and the OS. b) Data related to load on the server. c) Top 5 processes with maximum number of threads. d) Sort the services by memory 3. Install Nagios on a VM node for monitoring the various parameter of the VM. - - - - - - - - - - - - - - For more information, please write back to us at sales🤍edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).
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Docker#3 Dockerfile, Image & Container creation - Tamil Cloudguy - In Tamil A Dockerfile is a recipe for creating Docker images. A Docker image gets built by running a Docker command (which uses that Dockerfile ) A Docker container is a running instance of a Docker image. The Dockerfile is the source code of the image. Once the Dockerfile is created, you build it to create the image of the container. The image is just the "compiled version" of the "source code" which is the Dockerfile. Once you have the image of the container, you should redistribute it using the registry. Thanks and Regards, Shenbaga Sundar - Tamil Cloudguy Copyright © 2020 Tamil Cloudguy. All rights reserved. Contacts: Email ID: ccloudguyy🤍gmail.com 🤍 LinkedIn: 🤍 Tamil Cloudguy GitHub: 🤍 Tamil Cloudguy Youtube: 🤍 Tamil Cloudguy G-drive: 🤍 Background music courtesy: Audio library – Music for content creators. 🤍 -~-~~-~~~-~~-~- Please watch: "SF#4 Snowflake - Create a Simple tree of TASKS - Tamil Cloudguy - தமிழ் " 🤍 -~-~~-~~~-~~-~-
In this tutorial, we will dive deep into reinvent 2020 lambda Serverless feature - lambda container image, where you can create and run your own container as lambda function. We will go what is lambda container image, what are the advantages, then do a demo. 💰👨🎓 Get my courses with max discount and 30 day moneyback guarantee: 🤍 Connect with me 🤳 Instagram: 🤍 🏢 LinkedIN: 🤍 🐦Twitter: 🤍 🖼 Facebook: 🤍 Timestamps: 00:00 Lambda container image with flow 04:48 Advantages 07:35 Demo #AWSReinvent #reivnent2020 #Lambda
How to update docker container automatically with Watchtower. Scheduled updates without downtime for your entire docker environment. 📰 BLOG ARTICLE: 🤍 📎 LINKS: Portainer tutorial: 🤍 Watchtower documentation: 🤍 BECOME A MEMBER AND BE A CODE HERO! 🗨️ Get Help & Chat: 🤍 🥳 Support me: 🤍 AWESOME COURSES & TRAINING: 👨🎓 ITProTV-*: 🤍 HOST YOUR APPS & SERVERS: 💧 DigitalOcean-*: 🤍 FOLLOW ME EVERYWHERE: 🐦 Twitter News: 🤍 📷 Instagram Vlog: 🤍 👨💻 GitHub Projects: 🤍 🎮 Gaming and Coding: 🤍 🌍 Read my Blog: 🤍 OTHER COOL STUFF: 🖥️ My Equipment: 🤍 👕 Geek Merch: 🤍 ⏱️ TIMESTAMPS: 00:00 - Introduction 02:00 - Install Watchtower on a docker server 04:37 - How to exclude specific containers 06:31 - Scheduling and cleanup 09:11 - Deploy in portainer All links with "*" are affiliate links.
Instructions on how to update Docker container to newer images or update application hosted on Docker container. Docker Compose (Infrastructure as Code) utility to start docker containers using yaml instruction file. For more Docker videos check the How-To docker playlist on ElastiCourse Youtube channel. = Network Security courses on ElastiCourse/Udemy: Introduction to Fortigate Firewall 🤍 🤍 Fortigate Advanced Configuration 🤍 🤍 Introduction to FortiManager course 🤍 🤍 = AWS Web Application deployment and migration course 🤍 🤍
In this video, we will build and push a container image to GitHub Container Registry Repo: 🤍
In this video, we'll see how to get shell inside a running container in docker and do stuff inside the container. Don't forget to subscribe and like the video if you enjoyed :) Be a damner, join the coding community: 🤍
In this Simplilearn video on Dockerizing an application tutorial video we will learn how to eliminate virtual machines by collaborating with co-workers. Not only that, but the video also tells you how to implement all the Docker components together in order to get a high-level solution in the organization. Operators use Docker to run and manage apps side-by-side in isolated containers. This Dockerizing application Tutorial will explain the topics listed below: 1. What is Docker ( 1:20 ) 2. Docker Images / Docker Containers ( 3:05 ) 3. Docker Workflow ( 6:56 ) 4. Docker Pipeline ( 7:37 ) 5. Docker files ( 8:38 ) 6. Dockerizing Angular Application Demo ( 9:43 ) 🔥Free DevOps Training: 🤍 Docker is a technology to package an application and all its dependencies into a single, easily transportable container. What is Docker? Docker is basically a container engine and it allows you to run your applications inside containers. Until now we have been running applications on virtual machines. Every virtual machine used to be the base of our application but now with the advent of Docker and containerization technologies each application is run in a container like logical space. What is a container? So define a container, it is a logical grouping of all the binaries and all the dependencies that each application requires then bundling into a single whole and running it on top of a Docker Engine. #DevOpsTrainingVideos #DevOpsPractitioner #DevOpsTutorialsForBeginners #DevOpsPractitioner #DevOpsCertification #DevOpsCourse DevOps Tutorial Playlist: 🤍 DevOps Articles: 🤍 To Gain In-depth Knowledge of DevOps, Check Our DevOps Training Course: 🤍 What are the objectives of this DevOps Training Course? Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands on and interactive approach. What skills you will learn through this DevOps Training Course? 1. After completing the DevOps training course you will achieve hands on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are: 2. An understanding of DevOps and the modern DevOps toolsets The ability to automate all aspects of a modern code delivery and deployment pipeline using: - Source code management tools - Build tools - Test automation tools - Containerization through Docker - Configuration management tools - Monitoring tools Who should take this DevOps Course? This DevOps training course will be of benefit the following professional roles: 1. Software Developers 2. Technical Project Managers 3. Architects 4. Operations Support 5. Deployment engineers 6. IT managers 7. Development managers What are the projects included in this DevOps Course? As part of the coursework, you will complete three projects based on industry use cases. Project #1 Domain: Finance A global bank recruits 500 graduate software developers each year. The developers are employed at sites in four different countries. The bank requires a web-based questionnaire system to assess graduates’ programming skills so that they can provide appropriate training. You will need to design, implement and deploy part of the system. Project #2 Domain: Media A media company wishes to offer a website where users can upload photographs. Captions and titles can be added to the photographs. Customers can order prints of photos on T-shirts, mugs and other items. You will need to design, implement and deploy part of the system. Project #3 Domain: Medical A hospital wishes to implement a system that can detect harmful drug interactions. They want a mobile phone application that allows doctors to enter or scan prescriptions. The system will then check for drug interactions, and any conflicting drugs will be highlighted so that the prescription can be changed. You will need to design, implement and deploy part of the application. For more updates on courses and tips follow us on: - Facebook: 🤍 - Twitter: 🤍 Get the Android app: 🤍 Get the iOS app: 🤍
In this step by step tutorial, I show you how to deploy a Flask based Docker app to AWS. We start by building a local docker image and uploading it to Elastic Container Registry. We create an ECS Cluster, and configure a task to run our docker image. Finally, we launch a Task into the cluster and expose the app to the internet via VPC. 00:10 Example Overview 02:15 Application Walkthrough 04:34 Creating a ECR Repository 05:16 Uploading your Image to ECR 06:28 Creating an ECS Cluster 09:10 Creating a ECS Task Definition 11:35 Running a Task on your Cluster 13:03 Testing our app Want the docker file used in this video? Check out 🤍 Tutorial (about a third down the page). 🤍 How to install the AWS CLI - 🤍 Source Code + Policy Template - 🤍 🎉SUPPORT BE A BETTER DEV🎉 Become a Patron: 🤍 📚 MY RECOMMENDED READING LIST FOR SOFTWARE DEVELOPERS📚 Clean Code - 🤍 Clean Architecture - 🤍 Head First Design Patterns - 🤍 Domain Driver Design - 🤍 Code Complete - 🤍 The Pragmatic Programmer - 🤍 Algorithms - 🤍 Working Effectively with Legacy Code - 🤍 Refactoring - 🤍 🎙 MY RECORDING EQUIPMENT 🎙 Shure SM58 Microphone - 🤍 Behringer UM2 Audio Interface - 🤍 XLR Cable - 🤍 Acoustic Sound Absorbing Foam Panels - 🤍 Desk Microphone Mount - 🤍 Logitech C920s Webcam - 🤍 Fujilm XS10 Camera - 🤍 Fujifilm XF 35mm F2 Lens - 🤍 Neewer 2 Piece Studio Lights - 🤍 💻 MY DESKTOP EQUIPMENT 💻 Dell 34 inch Ultrawide Monitor - 🤍 Autonomous ErgoChair 2 - 🤍 Autonomous SmartDesk 2 Standing Desk - 🤍 MX Master 3 Productivity Mouse - 🤍 Das Keyboard Prime 13 MX Brown Mechanical- 🤍 Veikk A15 Drawing Tablet - 🤍 📚 References: Getting started with AWS: 🤍 ☁Topics covered include: Docker Flask App Elastic Container Registry Elastic Container Service 🌎 Find me here: Twitter - 🤍 Instagram - 🤍 Patreon - Donations help fund additional content - 🤍 #SoftwareEngineer #SoftwareDeveloper #ElasticContainerService #AWS
► Java/Spring courses & guides 🤍 ► Newsletter 🤍 ► YouTube sub 🤍 You learned how to build your own Docker images, now it's time to put your application's .jar or .war file inside that docker image so that you can run endless container instances with your application. Let's find out how to do that in this episode.
This is the first ever video on the internet which talks about Katalon Studio and its tests running on Docker container. There is no official release or documentation from Katalon team on Katalon Docker yet, but this video talks about it to showcase the taste of running Katalon studio from Docker container image with few simple commands from MacOS. In this video we will talk about 1.What Docker is ? 2. Katalon Docker container image and why ? 3. How to install Katalon Docker from Docker hub ? 4. Running tests on Katalon Docker container using shell script on MacOS The course source code is available in GitHub 🤍 For more videos and articles please visit 🤍 For complete course released from ExecuteAutomation visit 🤍 Please hit subscribe button to subscribe ExecuteAutomation channel and leave your comments and hit like if you like this video !
This tutorial demonstrates how to run Jenkins as Docker container and build Docker images of applications using Jenkins. Building Docker images using Jenkins. Running Jenkins as Docker container. #SpringBoot #Jenkins #Docker #DockerJenkins #JenkinsOnDocker If you liked this video please do subscribe and press the bell icon so that you are notified when I publish any new video. Please feel free to post any questions you might have related to Docker, Jenkins or Spring boot and I would be more than happy to help. Flutter with Spring Boot playlist: 🤍
How to create DOCKER container on Google Cloud Platform (GCP) |Step by Step Tutorial LIVE (2020) #buildcontainers #docker #dockercontainers #gcp #stepbystep #completeguide Check out this video for Container basics Let's understand containers | 5 simple steps to create a docker container - 🤍 * Check out our technology and google cloud tutorials playlists* 1) Latest technology tutorial (2020) :- 🤍 2) Google Cloud Platform Beginner Series (2020) :- 🤍 Hi Friends, I am Anshul Tiwari and welcome to our youtube channel ITkFunde. About this video - In this video, we will learn step by step process to create an application container using Docker on Google cloud platform. We will cover the below points in this video - - CONTAINER BASICS (QUICK OVERVIEW) - CONTAINERIZATION PROCESS - COMPONENTS USED IN THIS DEMO - DEMO Containers are simply a way to package software within a standard environment. We will learn how to create a docker container and deploy it on the Google Cloud Platform (GCP) with these 5 simple steps. I will show you all steps on my machine:- 1. CODE YOUR APP 2. CREATE DOCKERFILE 3. BUILD CONTAINER IMAGE 4. PUSH CONTAINER IMAGE TO CONTAINER REGISTRY 5. DEPLOY CONTAINER IMAGE ON CLOUD RUN *Social Links* Facebook - 🤍 Linkedin - 🤍 Twitter - 🤍 Blog - 🤍 Instagram -🤍 *About This Channel* Friends ITkFUNDE channel wants to bring I.T related knowledge, information, career advice, and much more to every individual regardless of whether he or she belongs to I.T or not. This channel is for everyone interested in learning something new!
In this edition of Azure Tips and Tricks, learn how to create a container image to run applications with Docker. You’ll see how to create a folder inside a container and create a script to execute it. For more tips and tricks, visit: 🤍 Get started with 12 months of free services and $200 USD in credit. Create your free account today with Microsoft Azure: 🤍 Check out Azure Documentation: 🤍 Learn more about containers on Azure: 🤍
#Docker #Container #Windows Server 2019 #PowerShell #GUI ####################################################### This Video is Show on How to Install & Deploying and Run Docker Container on Windows Server 2019 !! Nano Server Docker !! .NET Docker Container !! ####################################################### linux containers on windows server 2019 windows server 2019 docker image download docker for windows install docker docker desktop for windows install docker-compose docker desktop requires the server service to be enabled. windows server 2019 containers docker windows server 2019 image docker desktop requires the server service to be enabled. windows server 2019 containers docker desktop for windows download docker for windows docker run windows windows server docker image docker hub windows 10 docker image nano server docker windows image windows nano server 2019 docker image mcr microsoft com windows docker pull microsoft/nanoserver not working windows/amd64 docker images Docker PowerShell Commands docker create container from image docker run docker run container name docker build and run docker run (options) docker run command in container docker run -p port:port dockerfile example install powershell in docker container run powershell script in docker container docker run powershell script docker hub docker commands docker powershell module docker run command add powershell to docker image
In this video, Alex Mohr and Jessica Frazelle cover all the ways you can secure your Kubernetes cluster using a Certificate Authority, Authentication, Secrets and more. They also describe and demonstrate the ways you can use Seccomp, AppArmor, SELinux and cgroups to make your application containers as secure as possible — so you can build organizational and customer trust. Missed the conference? Watch all the talks here: 🤍 Watch more talks about Infrastructure & Operations here: 🤍